Alternatives and similar repositories for AIJack:

Users that are interested in AIJack are comparing it to the libraries listed below

• JonasGeiping / breaching
  Breaching privacy in federated learning scenarios for vision and text
  ☆276Updated 9 months ago
• JonasGeiping / invertinggradients
  Algorithms to recover input data from their gradient signal through a neural network
  ☆276Updated last year
• Yangfan-Jiang / Federated-Learning-with-Differential-Privacy
  Implementation of dp-based federated learning framework using PyTorch
  ☆291Updated last year
• git-disl / DataPoisoning_FL
  Code for Data Poisoning Attacks Against Federated Learning Systems
  ☆175Updated 3 years ago
• OpenMined / PyVertical
  Privacy Preserving Vertical Federated Learning
  ☆217Updated last year
• HongshengHu / membership-inference-machine-learning-literature
  ☆303Updated last month
• ebagdasa / backdoors101
  Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.
  ☆344Updated last year
• SMILELab-FL / FedLab-benchmarks
  Standard federated learning implementations in FedLab and FL benchmarks.
  ☆157Updated 11 months ago
• AI-secure / DBA
  DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)
  ☆182Updated 3 years ago
• FederatedAI / research
  ☆168Updated 2 months ago
• ebagdasa / backdoor_federated_learning
  Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)
  ☆284Updated 5 months ago
• wenzhu23333 / Differential-Privacy-Based-Federated-Learning
  Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…
  ☆359Updated 2 months ago
• PatrickZH / Improved-Deep-Leakage-from-Gradients
  The code for "Improved Deep Leakage from Gradients" (iDLG).
  ☆146Updated 3 years ago
• facebookresearch / FLSim
  Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. F…
  ☆254Updated 4 months ago
• microsoft / PersonalizedFL
  Personalized federated learning codebase for research
  ☆363Updated last year
• vrt1shjwlkr / NDSS21-Model-Poisoning
  Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"
  ☆139Updated 2 years ago
• SAP-samples / machine-learning-diff-private-federated-learning
  Simulate a federated setting and run differentially private federated learning.
  ☆365Updated 5 months ago
• mit-han-lab / dlg
  [NeurIPS 2019] Deep Leakage From Gradients
  ☆421Updated 2 years ago
• google-research / federated
  A collection of Google research projects related to Federated Learning and Federated Analytics.
  ☆698Updated 5 months ago
• vaseline555 / Federated-Learning-in-PyTorch
  Handy PyTorch implementation of Federated Learning (for your painless research)
  ☆421Updated last year
• spring-epfl / mia
  A library for running membership inference attacks against ML models
  ☆141Updated 2 years ago
• awslabs / fast-differential-privacy
  Fast, memory-efficient, scalable optimization of deep learning with differential privacy
  ☆110Updated last week
• lishenghui / blades
  ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning
  ☆136Updated 5 months ago
• privacytrustlab / ml_privacy_meter
  Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
  ☆618Updated 3 weeks ago
• Billy1900 / Awesome-Differential-Privacy
  Differential private machine learning
  ☆184Updated 2 years ago
• MLOPTPSU / FedTorch
  FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.
  ☆189Updated 8 months ago
• weimingwill / EasyFL
  An easy-to-use federated learning platform
  ☆297Updated last year
• SMILELab-FL / FedLab
  A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.
  ☆750Updated 5 months ago
• Xtra-Computing / NIID-Bench
  Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)
  ☆576Updated 10 months ago
• weimingwill / awesome-federated-learning
  All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
  ☆677Updated 2 months ago